IBM
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A IBM Case Study
Japan Airlines wanted to improve customer travel experiences in a highly competitive airline market by offering more convenient, personalized interactions throughout the journey. To support its growing AI initiatives, Japan Airlines worked with IBM, using IBM Watson AI technology to enhance customer communications and proactively identify traveler needs.
IBM helped Japan Airlines launch Makana-chan, a personal assistant that delivers personalized recommendations and information from the start of the flight search process, beginning with Hawaii as a key destination. The solution helped differentiate Japan Airlines in the market, and more than 80% of Makana-chan users said they would recommend it to others, showing strong customer satisfaction and impact.
Takayuki Okamoto
Manager of the Web Sales Department